Exact(46)
The issue of noise is discussed and more robust descriptor based on Rapid-transform is introduced under noise condition.
Moreover, we propose a trainable feature descriptor based on a combination of evolutionary algorithms and Binary Robust Independent Elementary Features, which we call GRIEF (Generated BRIEF).
The recognition technique is based on subgraph isomorphism and exploits a novel spatial descriptor, based on polar histograms, to represent relations between two stroke primitives.
We propose a novel local shape descriptor based on the concept that the evolution pattern of geodesic iso-contour's length is a good representative for surface features.
Thus, in this paper, we propose an effective descriptor based on angular radial transform (ART) and polar Hough transform (PHT), which is capable of fulfilling the above requirements.
For the effective use of repetitive patterns, we define a new descriptor based on support vector data description (SVDD) for describing clusters of similar features.
Similar(14)
In addition, angle-based descriptors based on orientation and width information may be similar, and the points will not be distinctive.
Moreels, P. & Perona, P. Evaluation of features detectors and descriptors based on 3d objects.
Their inhibiting activity on receptor IL-2 Itk correlates descriptors based on topology and hydrophobicity.
Novel molecular descriptors based on local spectral moments of the bond matrix are defined.
New types of descriptors based on multistage convolutional networks and deep learning have also emerged.
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